PlotlyWidget.add_sankey

PlotlyWidget.add_sankey(arrangement=None, customdata=None, customdatasrc=None, domain=None, hoverinfo=None, hoverlabel=None, ids=None, idssrc=None, link=None, meta=None, metasrc=None, name=None, node=None, orientation=None, selectedpoints=None, stream=None, textfont=None, uid=None, uirevision=None, valueformat=None, valuesuffix=None, visible=None, row=None, col=None, **kwargs)

Add a new Sankey trace

Sankey plots for network flow data analysis. The nodes are specified in nodes and the links between sources and targets in links. The colors are set in nodes[i].color and links[i].color, otherwise defaults are used.

Parameters

  • arrangement – If value is snap (the default), the node arrangement is assisted by automatic snapping of elements to preserve space between nodes specified via nodepad. If value is perpendicular, the nodes can only move along a line perpendicular to the flow. If value is freeform, the nodes can freely move on the plane. If value is fixed, the nodes are stationary.

  • customdata – Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, “scatter” traces also appends customdata items in the markers DOM elements

  • customdatasrc – Sets the source reference on Chart Studio Cloud for customdata .

  • domain – plotly.graph_objects.sankey.Domain instance or dict with compatible properties

  • hoverinfo – Determines which trace information appear on hover. If none or skip are set, no information is displayed upon hovering. But, if none is set, click and hover events are still fired. Note that this attribute is superseded by node.hoverinfo and node.hoverinfo for nodes and links respectively.

  • hoverlabel – plotly.graph_objects.sankey.Hoverlabel instance or dict with compatible properties

  • ids – Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type.

  • idssrc – Sets the source reference on Chart Studio Cloud for ids .

  • link – The links of the Sankey plot.

  • meta – Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace name, graph, axis and colorbar title.text, annotation text rangeselector, updatemenues and sliders label text all support meta. To access the trace meta values in an attribute in the same trace, simply use %{meta[i]} where i is the index or key of the meta item in question. To access trace meta in layout attributes, use %{data[n[.meta[i]} where i is the index or key of the meta and n is the trace index.

  • metasrc – Sets the source reference on Chart Studio Cloud for meta .

  • name – Sets the trace name. The trace name appear as the legend item and on hover.

  • node – The nodes of the Sankey plot.

  • orientation – Sets the orientation of the Sankey diagram.

  • selectedpoints – Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the unselected are turned on for all points, whereas, any other non-array values means no selection all where the selected and unselected styles have no effect.

  • stream – plotly.graph_objects.sankey.Stream instance or dict with compatible properties

  • textfont – Sets the font for node labels

  • uid – Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions.

  • uirevision – Controls persistence of some user-driven changes to the trace: constraintrange in parcoords traces, as well as some editable: true modifications such as name and colorbar.title. Defaults to layout.uirevision. Note that other user-driven trace attribute changes are controlled by layout attributes: trace.visible is controlled by layout.legend.uirevision, selectedpoints is controlled by layout.selectionrevision, and colorbar.(x|y) (accessible with config: {editable: true}) is controlled by layout.editrevision. Trace changes are tracked by uid, which only falls back on trace index if no uid is provided. So if your app can add/remove traces before the end of the data array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a uid that stays with it as it moves.

  • valueformat – Sets the value formatting rule using d3 formatting mini-language which is similar to those of Python. See https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format

  • valuesuffix – Adds a unit to follow the value in the hover tooltip. Add a space if a separation is necessary from the value.

  • visible – Determines whether or not this trace is visible. If “legendonly”, the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible).

  • row ('all', int or None (default)) – Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all rows in the specified column(s).

  • col ('all', int or None (default)) – Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all columns in the specified row(s).

Returns

Return type

FigureWidget

PlotlyWidget.add_pointcloud PlotlyWidget.add_scatter